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1993 Journal Article An Analysis of Risk-Factors for Death and Mode-Specific Death After Aortic-Valve Replacement with Allograft, Xenograft, and Mechanical ValvesMcGiffin, DC, Obrien, MF, Galbraith, AJ, McLachlan, GJ, Stafford, EG, Gardner, Mah, Pohlner, PG, Early, L and Kear, L (1993). An Analysis of Risk-Factors for Death and Mode-Specific Death After Aortic-Valve Replacement with Allograft, Xenograft, and Mechanical Valves. Journal of Thoracic and Cardiovascular Surgery, 106 (5), 895-911. doi: 10.1016/s0022-5223(19)34046-2 |
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1993 Journal Article A Connection Between the Logit Model, Normal Discriminant-Analysis, and Multivariate Normal Mixtures - CommentMcLachlan, G (1993). A Connection Between the Logit Model, Normal Discriminant-Analysis, and Multivariate Normal Mixtures - Comment. American Statistician, 47 (1), 88-88. |
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1992 Journal Article Aortic-Valve Infection - Risk-Factors for Death and Recurrent Endocarditis After Aortic-Valve ReplacementMcGiffin, DC, Galbraith, AJ, McLachlan, GJ, Stower, RE, Wong, ML, Stafford, EG, Gardner, Mah, Pohlner, PG and Obrien, MF (1992). Aortic-Valve Infection - Risk-Factors for Death and Recurrent Endocarditis After Aortic-Valve Replacement. Journal of Thoracic and Cardiovascular Surgery, 104 (2), 511-520. doi: 10.1016/s0022-5223(19)34813-5 |
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1992 Journal Article Fitting finite mixture models in a regression contextJones, P. N. and McLachlan, G. J. (1992). Fitting finite mixture models in a regression context. Australian Journal of Statistics, 34 (2), 233-240. doi: 10.1111/j.1467-842X.1992.tb01356.x |
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1992 Journal Article Improving the convergence rate of the EM algorithm for a mixture model fitted to grouped truncated dataJones, Peter N. and McLachlan, Geoffrey J. (1992). Improving the convergence rate of the EM algorithm for a mixture model fitted to grouped truncated data. Journal of Statistical Computation and Simulation, 43 (1-2), 31-44. doi: 10.1080/00949659208811426 |
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1992 Journal Article Cluster analysis and related techniques in medical researchMclachlan G.J. (1992). Cluster analysis and related techniques in medical research. Statistical Methods in Medical Research, 1 (1), 27-48. doi: 10.1177/096228029200100103 |
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1991 Journal Article Fitting Mixture Distributions to Phenylthiocarbamide (ptc) SensitivityJones, PN and McLachlan, GJ (1991). Fitting Mixture Distributions to Phenylthiocarbamide (ptc) Sensitivity. American Journal of Human Genetics, 48 (1), 117-120. |
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1991 Journal Article The analysis of time-related events after cardiac surgeryMcGiffen, David C. and McLachlan, Geoffrey J. (1991). The analysis of time-related events after cardiac surgery. The AustralAsian Journal of Cardiac and Thoracic Surgery, 1 (1), 11-13. doi: 10.1016/1037-2091(91)90007-Y |
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1990 Journal Article Laplace-normal mixtures fitted to wind shear dataJones, P. N. and McLachlan, G. J. (1990). Laplace-normal mixtures fitted to wind shear data. Journal of Applied Statistics, 17 (2), 271-276. doi: 10.1080/757582839 |
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1990 Journal Article Algorithm AS 254: maximum likelihood estimation from grouped and truncated data with finite normal mixture modelsJones, P. N. and McLachlan, G. J. (1990). Algorithm AS 254: maximum likelihood estimation from grouped and truncated data with finite normal mixture models. Applied Statistics - Journal of the Royal Statistical Society Series C, 39 (2), 273-282. doi: 10.2307/2347776 |
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1989 Journal Article Mixture-Models for Partially Unclassified Data - a Case-Study of Renal Venous Renin in HypertensionMcLachlan, GJ and Gordon, RD (1989). Mixture-Models for Partially Unclassified Data - a Case-Study of Renal Venous Renin in Hypertension. Statistics in Medicine, 8 (10), 1291-1300. doi: 10.1002/sim.4780081012 |
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1989 Journal Article Bias Associated with the Discriminant-Analysis Approach to the Estimation of Mixing ProportionsLawoko, Cro and McLachlan, GJ (1989). Bias Associated with the Discriminant-Analysis Approach to the Estimation of Mixing Proportions. Pattern Recognition, 22 (6), 763-766. doi: 10.1016/0031-3203(89)90012-5 |
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1989 Journal Article Modeling Mass-Size Particle Data by Finite MixturesJones, PN and McLachlan, GJ (1989). Modeling Mass-Size Particle Data by Finite Mixtures. Communications in Statistics-Theory and Methods, 18 (7), 2629-2646. doi: 10.1080/03610928908830054 |
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1988 Journal Article Fitting Mixture-Models to Grouped and Truncated Data Via the Em AlgorithmMcLachlan, GJ and Jones, PN (1988). Fitting Mixture-Models to Grouped and Truncated Data Via the Em Algorithm. Biometrics, 44 (2), 571-578. doi: 10.2307/2531869 |
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1988 Journal Article On the Choice of Starting Values for the Em Algorithm in Fitting Mixture-ModelsMcLachlan, GJ (1988). On the Choice of Starting Values for the Em Algorithm in Fitting Mixture-Models. Statistician, 37 (4-5), 417-425. doi: 10.2307/2348768 |
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1988 Journal Article Further Results On Discrimination with Auto-Correlated ObservationsLawoko, Cro and McLachlan, GJ (1988). Further Results On Discrimination with Auto-Correlated Observations. Pattern Recognition, 21 (1), 69-72. doi: 10.1016/0031-3203(88)90073-8 |
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1987 Journal Article A Note On the Aitkin-Rubin Approach to Hypothesis-Testing in Mixture-ModelsQuinn, BG, McLachlan, GJ and Hjort, NL (1987). A Note On the Aitkin-Rubin Approach to Hypothesis-Testing in Mixture-Models. Journal of the Royal Statistical Society Series B-Methodological, 49 (3), 311-314. doi: 10.1111/j.2517-6161.1987.tb01700.x |
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1987 Journal Article On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal MixtureMcLachlan, GJ (1987). On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal Mixture. Applied Statistics-Journal of the Royal Statistical Society Series C, 36 (3), 318-324. doi: 10.2307/2347790 |
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1986 Journal Article Assessing the Performance of An Allocation RuleMcLachlan, GJ (1986). Assessing the Performance of An Allocation Rule. Computers & Mathematics with Applications-Part a, 12 (2), 261-272. doi: 10.1016/0898-1221(86)90079-9 |
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1986 Journal Article Asymptotic Error Rates of the W-Statistics and Z-Statistics When the Training Observations Are DependentLawoko, Cro and McLachlan, GJ (1986). Asymptotic Error Rates of the W-Statistics and Z-Statistics When the Training Observations Are Dependent. Pattern Recognition, 19 (6), 467-471. doi: 10.1016/0031-3203(86)90045-2 |
